NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
We are looking for a creative and experienced Product Test Engineer. We need a creative individual who will help writing automated test program for the advance GPU and SOC. You will be exposed to various aspects of designing and testing NVIDIA products. In addition, your responsibilities will include coordinating with local and overseas product engineering and wafer foundry teams to implement the new test methodology to ensure our chip with the best quality and performance can be delivered to the end customer. If you are passionate about new advance test technology of GPU and SOC, then we really want to hear from you
What you'll be doing:
Initiative and bringup wafer sort ATE program during new product introduction, and ramp up for mass production.
New probing technology and methodology deployment, includes machine learning for artificial intelligence model, high bandwidth test fixture for 3D IC support.
Engage the on-site work with team collaboration, communication, and drive the ATE/probing HW vendor/supplier on right strategy to improve the performance, quality and reliability
Build up statistical tool or performing data analysis for gap and rootcause analysis.
Build up statistical widget or performing data analysis for gap analysis and problem solving.
Create the productivity script tool for test automation, machine learning, and production efficiency.
Support inline debugging and troubleshooting for the resolution of production line issue.
What we need to see:
BS or equivalent experience in EE or CS related fields.
5 years or above of Advantest 93K(or Teradyne Uflex) experience at test house, ATE vendor, either written wafer sort program or production sustaining.
Knowledge of Compute Language in either C++/C or VB, Perl, Python is preferred..
Good command of oral and written English.
Good communications in collaboration team work.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- 5 years or above of Advantest 93K or Teradyne Uflex experience
- BS or equivalent experience in Electrical Engineering or Computer Science
- Knowledge of Compute Language such as C++, C, VB, Perl, or Python
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
